Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Jessie Pechmann, Humanitarian GIS and Data Protection Lead with Humanitarian OpenStreetMap, speaks with Humanitarian AI Today producer Brent Phillips about satellite imaging, GIS, and the uses of AI in assessing building damage. They touch on how different AI models and methods can produce wildly different results for the same area, highlighting the need for transparency and better validation practices, including humans in the loop providing local knowledge and oversight. They also discuss the importance of "data commons," the open, shared data resources that humanitarian organizations rely on, and the challenges of supporting them amid a shift away from traditional government funding, which risks data becoming "siloed" as funding moves toward philanthropic or paid-for services.
Substack notes: https://humanitarianaitoday.substack.com/p/jessie-pechmann-from-humanitarian
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Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Jessie Pechmann, Humanitarian GIS and Data Protection Lead with Humanitarian OpenStreetMap, speaks with Humanitarian AI Today producer Brent Phillips about satellite imaging, GIS, and the uses of AI in assessing building damage. They touch on how different AI models and methods can produce wildly different results for the same area, highlighting the need for transparency and better validation practices, including humans in the loop providing local knowledge and oversight. They also discuss the importance of "data commons," the open, shared data resources that humanitarian organizations rely on, and the challenges of supporting them amid a shift away from traditional government funding, which risks data becoming "siloed" as funding moves toward philanthropic or paid-for services.
Substack notes: https://humanitarianaitoday.substack.com/p/jessie-pechmann-from-humanitarian
Perry Hewitt from Data.org on Accelerating What's Possible in Social Impact
Humanitarian AI Today
6 minutes 27 seconds
1 month ago
Perry Hewitt from Data.org on Accelerating What's Possible in Social Impact
Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to innovators, researchers and practitioners on the humanitarian front lines, delivering real-time news on how they are building, testing and collaborating on uses of artificial intelligence.
On this Voices flashpod, Perry Hewitt, Chief Strategy Officer at Data.org joins Humanitarian AI Today podcast host Brent Phillips to discuss Data.org’s role in supporting the social impact community’s transition into digital and its transition now into data and AI, and Data.org’s new report ‘Accelerate What’s Possible’ - a roadmap for how data and AI can be used innovatively and intentionally to drive social impact. They also touch on Data.org’s Activate AI: Economic Opportunity Challenge, their partnership with Zoom and the next Accelerate conference taking place in June 2026 in Bogotá, Colombia on the Javeriana University campus.
Notes: https://humanitarianaitoday.substack.com/p/perry-hewitt-from-dataorg-on-accelerating
Humanitarian AI Today
Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Jessie Pechmann, Humanitarian GIS and Data Protection Lead with Humanitarian OpenStreetMap, speaks with Humanitarian AI Today producer Brent Phillips about satellite imaging, GIS, and the uses of AI in assessing building damage. They touch on how different AI models and methods can produce wildly different results for the same area, highlighting the need for transparency and better validation practices, including humans in the loop providing local knowledge and oversight. They also discuss the importance of "data commons," the open, shared data resources that humanitarian organizations rely on, and the challenges of supporting them amid a shift away from traditional government funding, which risks data becoming "siloed" as funding moves toward philanthropic or paid-for services.
Substack notes: https://humanitarianaitoday.substack.com/p/jessie-pechmann-from-humanitarian
